Personal Knowledge Base Lite

Local file knowledge base with LLM-powered indexing and Q&A. Scans a directory for documents (.txt, .md, .pdf, .docx, .xlsx, .csv), extracts metadata (summar...

This skill appears to do what it says: build a local index and answer questions from files. Before installing: - Do not point WATCH_DIR to system folders, your home directory, or any location containing secrets; create a dedicated directory with only the documents you want indexed. - Confirm what the installer 'uv' actually does (ask the publisher or registry) and prefer installing known packages via pip from PyPI or in a virtual environment. Review package sources/version and hashes if possible. - Run the skill in a sandboxed environment or VM first so indexing/writes can't affect important files. - Be aware the agent will read file contents to generate summaries — treat that as sensitive access and restrict who can invoke the skill. If you need stricter guarantees (no accidental data reads), require manual invocation and review the config before running. - If the registry/homepage/author is unknown, ask the publisher for provenance or source code before granting any automated install rights.

Type: OpenClaw Skill Name: personal-kb-lite Version: 1.0.0 The skill implements a local document indexing and RAG (Retrieval-Augmented Generation) system. It scans a user-defined directory for documents, extracts metadata using the LLM, and stores it in a local JSON file. The implementation uses safe practices, such as passing file paths via environment variables to Python sub-processes to prevent shell injection, and its behavior is entirely consistent with its stated purpose of local knowledge management.